Signal Processing Engineer

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Job type: Permanent

County: Leicestershire

Country: United Kingdom

Salary/rate: £65,000 to £75,000

Discipline: Engineering

Job ref: CT2035

Post Date: 16-07-2026 09:40 AM

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Cure Talent are delighted to be partnered with an emerging wearable medical technology company at a defining stage of its growth. Developing next generation physiological monitoring solutions, this organisation is advancing its data science and sensing capabilities to deliver continuous, medical grade insights across the patient journey, from hospital to home.

We have an opportunity for an experienced Data Scientist or Signal Processing Engineer to join the team and play a key role in developing algorithms and modelling techniques used to interpret complex physiological data from non-invasive wearable sensors.

This is a hands-on, technically focused role working at the intersection of signal processing, machine learning and physiology, translating real-world sensor data into clinically meaningful insights.

Key Responsibilities

• Design and implement signal processing pipelines to analyse non-invasive physiological data.
• Develop algorithms and models to extract clinically relevant cardiorespiratory and haemodynamic metrics.
• Analyse complex time-series data from wearable sensors, including noisy real-world signals.
• Support experimental design, data collection and analysis from internal testing and controlled clinical studies.
• Collaborate with engineering, data science and clinical teams to integrate algorithms into products.

Experience And Skills Required

• Strong experience in signal processing and analysis of time-series or physiological data.
• Experience developing algorithms or models using MATLAB, Python or similar high-level tools.
• Understanding of techniques such as filtering, noise reduction and feature extraction.
• Experience working with non-invasive physiological signals (e.g. ECG, PPG or respiratory data).
• Ability to design experiments and work with real-world and clinical datasets.

Nice to have

• Experience working with wearable sensors or digital health technologies.
• Exposure to machine learning techniques applied to signal or physiological data.
• Understanding of cardiorespiratory physiology or haemodynamics.
• Experience translating algorithms into production or embedded environments.
• Familiarity with C/C++ or similar for deployment.

If you're a Data Scientist or Signal Processing Engineer with strong experience analysing physiological data and a passion for applying your work to real-world healthcare challenges, we'd be keen to hear from you.

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